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and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
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modelling and statistical computing programs and languages such as Python and R Please refer to the Position Descriptions for other duties, skills and experience required for this position. Welcome
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experience. Strong coding skills in commonly used scientific languages (e.g. Python, Matlab, shell script, C) Demonstrated experience in performing simulations at the atomic-scale, including density functional
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statistical analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., eye-tracking, pupillometry) Interest or training in technology law, digital regulation, or AI
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. Desirable: Proficiency in scientific programming (e.g. Python) and familiarity with data science and machine learning techniques. Experience with geochemical analytical techniques and working in a laboratory
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experience Proficiency in Python programming and experience with databases, SQL, and data modelling Demonstrated experience developing data pipelines and ETL processes using tools such as Apache Airflow
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, judgment, and initiative Familiarity with Python and Callista data is desirable About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something
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: Competency in automating tasks using Python, Ansible, REST APIs, and related tools. Monitoring & Troubleshooting: Expertise in network monitoring and diagnostics using tools like SolarWinds, Splunk
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high proficiency in Python, SQL and good command of visualisation tools such as Power BI are essential Hands-on experience with Databricks & cloud technologies (e.g., Azure, AWS or GCP) is preferred
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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation